Senior Data Scientist

We are actively seeking a Senior Data Scientist to become an integral member of our Kaggle team, focusing on leading the publication and ongoing management of machine learning and large language models (LLM).

The preferred candidate will possess a solid foundation in data science and machine learning, coupled with practical experience in handling large language models.

If this role interests you – please apply!

Responsibilities

• Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models
• Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training
• Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability
• Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models
• Use appropriate metrics and statistical analysis to measure and interpret results
• Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders

Requirements

• Bachelor’s or master’s degree in computer science, Data Science, Statistics, or related field
• 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
• Proficiency in Python
• Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc.
• Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc.
• General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
• Familiarity with cloud services (AWS, Google Cloud, Azure)
• Excellent written and verbal communication skills

Nice to have

• Proficiency in Docker and Kubernetes